mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-08-25 00:19:07 +08:00
427 lines
16 KiB
Python
427 lines
16 KiB
Python
import hashlib
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import os
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from typing import Iterable
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import shutil
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import subprocess
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import re
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import time
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from collections.abc import Mapping
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from typing import Union
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import functools
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import torch
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from torch import Tensor
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import server
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from .logger import logger
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import folder_paths
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BIGMIN = -(2**53-1)
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BIGMAX = (2**53-1)
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DIMMAX = 8192
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ENCODE_ARGS = ("utf-8", 'backslashreplace')
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def ffmpeg_suitability(path):
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try:
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version = subprocess.run([path, "-version"], check=True,
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capture_output=True).stdout.decode(*ENCODE_ARGS)
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except:
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return 0
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score = 0
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#rough layout of the importance of various features
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simple_criterion = [("libvpx", 20),("264",10), ("265",3),
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("svtav1",5),("libopus", 1)]
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for criterion in simple_criterion:
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if version.find(criterion[0]) >= 0:
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score += criterion[1]
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#obtain rough compile year from copyright information
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copyright_index = version.find('2000-2')
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if copyright_index >= 0:
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copyright_year = version[copyright_index+6:copyright_index+9]
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if copyright_year.isnumeric():
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score += int(copyright_year)
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return score
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class MultiInput(str):
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def __new__(cls, string, allowed_types="*"):
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res = super().__new__(cls, string)
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res.allowed_types=allowed_types
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return res
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def __ne__(self, other):
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if self.allowed_types == "*" or other == "*":
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return False
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return other not in self.allowed_types
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imageOrLatent = MultiInput("IMAGE", ["IMAGE", "LATENT"])
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floatOrInt = MultiInput("FLOAT", ["FLOAT", "INT"])
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class ContainsAll(dict):
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def __contains__(self, other):
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return True
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def __getitem__(self, key):
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return super().get(key, (None, {}))
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if "VHS_FORCE_FFMPEG_PATH" in os.environ:
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ffmpeg_path = os.environ.get("VHS_FORCE_FFMPEG_PATH")
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else:
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ffmpeg_paths = []
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try:
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from imageio_ffmpeg import get_ffmpeg_exe
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imageio_ffmpeg_path = get_ffmpeg_exe()
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ffmpeg_paths.append(imageio_ffmpeg_path)
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except:
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if "VHS_USE_IMAGEIO_FFMPEG" in os.environ:
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raise
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logger.warn("Failed to import imageio_ffmpeg")
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if "VHS_USE_IMAGEIO_FFMPEG" in os.environ:
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ffmpeg_path = imageio_ffmpeg_path
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else:
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system_ffmpeg = shutil.which("ffmpeg")
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if system_ffmpeg is not None:
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ffmpeg_paths.append(system_ffmpeg)
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if os.path.isfile("ffmpeg"):
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ffmpeg_paths.append(os.path.abspath("ffmpeg"))
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if os.path.isfile("ffmpeg.exe"):
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ffmpeg_paths.append(os.path.abspath("ffmpeg.exe"))
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if len(ffmpeg_paths) == 0:
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logger.error("No valid ffmpeg found.")
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ffmpeg_path = None
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elif len(ffmpeg_paths) == 1:
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#Evaluation of suitability isn't required, can take sole option
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#to reduce startup time
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ffmpeg_path = ffmpeg_paths[0]
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else:
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ffmpeg_path = max(ffmpeg_paths, key=ffmpeg_suitability)
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gifski_path = os.environ.get("VHS_GIFSKI", None)
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if gifski_path is None:
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gifski_path = os.environ.get("JOV_GIFSKI", None)
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if gifski_path is None:
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gifski_path = shutil.which("gifski")
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ytdl_path = os.environ.get("VHS_YTDL", None) or shutil.which('yt-dlp') \
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or shutil.which('youtube-dl')
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download_history = {}
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def try_download_video(url):
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if ytdl_path is None:
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return None
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if url in download_history:
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return download_history[url]
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os.makedirs(folder_paths.get_temp_directory(), exist_ok=True)
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#Format information could be added to only download audio for Load Audio,
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#but this gets hairy if same url is also used for video.
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#Best to just always keep defaults
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#dl_format = ['-f', 'ba'] if is_audio else []
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try:
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res = subprocess.run([ytdl_path, "--print", "after_move:filepath",
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"-P", folder_paths.get_temp_directory(), url],
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capture_output=True, check=True)
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#strip newline
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file = res.stdout.decode(*ENCODE_ARGS)[:-1]
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except subprocess.CalledProcessError as e:
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raise Exception("An error occurred in the yt-dl process:\n" \
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+ e.stderr.decode(*ENCODE_ARGS))
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file = None
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download_history[url] = file
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return file
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def is_safe_path(path, strict=False):
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if "VHS_STRICT_PATHS" not in os.environ and not strict:
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return True
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basedir = os.path.abspath('.')
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try:
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common_path = os.path.commonpath([basedir, path])
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except:
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#Different drive on windows
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return False
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return common_path == basedir
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def get_sorted_dir_files_from_directory(directory: str, skip_first_images: int=0, select_every_nth: int=1, extensions: Iterable=None):
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directory = strip_path(directory)
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dir_files = os.listdir(directory)
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dir_files = sorted(dir_files)
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dir_files = [os.path.join(directory, x) for x in dir_files]
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dir_files = list(filter(lambda filepath: os.path.isfile(filepath), dir_files))
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# filter by extension, if needed
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if extensions is not None:
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extensions = list(extensions)
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new_dir_files = []
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for filepath in dir_files:
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ext = "." + filepath.split(".")[-1]
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if ext.lower() in extensions:
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new_dir_files.append(filepath)
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dir_files = new_dir_files
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# start at skip_first_images
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dir_files = dir_files[skip_first_images:]
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dir_files = dir_files[0::select_every_nth]
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return dir_files
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# modified from https://stackoverflow.com/questions/22058048/hashing-a-file-in-python
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def calculate_file_hash(filename: str, hash_every_n: int = 1):
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#Larger video files were taking >.5 seconds to hash even when cached,
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#so instead the modified time from the filesystem is used as a hash
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h = hashlib.sha256()
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h.update(filename.encode())
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h.update(str(os.path.getmtime(filename)).encode())
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return h.hexdigest()
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prompt_queue = server.PromptServer.instance.prompt_queue
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def requeue_workflow_unchecked():
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"""Requeues the current workflow without checking for multiple requeues"""
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currently_running = prompt_queue.currently_running
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(_, _, prompt, extra_data, outputs_to_execute) = next(iter(currently_running.values()))
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#Ensure batch_managers are marked stale
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prompt = prompt.copy()
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for uid in prompt:
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if prompt[uid]['class_type'] == 'VHS_BatchManager':
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prompt[uid]['inputs']['requeue'] = prompt[uid]['inputs'].get('requeue',0)+1
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#execution.py has guards for concurrency, but server doesn't.
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#TODO: Check that this won't be an issue
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number = -server.PromptServer.instance.number
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server.PromptServer.instance.number += 1
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prompt_id = str(server.uuid.uuid4())
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prompt_queue.put((number, prompt_id, prompt, extra_data, outputs_to_execute))
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requeue_guard = [None, 0, 0, {}]
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def requeue_workflow(requeue_required=(-1,True)):
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assert(len(prompt_queue.currently_running) == 1)
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global requeue_guard
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(run_number, _, prompt, _, _) = next(iter(prompt_queue.currently_running.values()))
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if requeue_guard[0] != run_number:
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#Calculate a count of how many outputs are managed by a batch manager
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managed_outputs=0
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for bm_uid in prompt:
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if prompt[bm_uid]['class_type'] == 'VHS_BatchManager':
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for output_uid in prompt:
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if prompt[output_uid]['class_type'] in ["VHS_VideoCombine"]:
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for inp in prompt[output_uid]['inputs'].values():
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if inp == [bm_uid, 0]:
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managed_outputs+=1
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requeue_guard = [run_number, 0, managed_outputs, {}]
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requeue_guard[1] = requeue_guard[1]+1
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requeue_guard[3][requeue_required[0]] = requeue_required[1]
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if requeue_guard[1] == requeue_guard[2] and max(requeue_guard[3].values()):
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requeue_workflow_unchecked()
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def get_audio(file, start_time=0, duration=0):
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args = [ffmpeg_path, "-i", file]
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if start_time > 0:
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args += ["-ss", str(start_time)]
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if duration > 0:
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args += ["-t", str(duration)]
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try:
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#TODO: scan for sample rate and maintain
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res = subprocess.run(args + ["-f", "f32le", "-"],
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capture_output=True, check=True)
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audio = torch.frombuffer(bytearray(res.stdout), dtype=torch.float32)
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match = re.search(', (\\d+) Hz, (\\w+), ',res.stderr.decode(*ENCODE_ARGS))
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except subprocess.CalledProcessError as e:
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raise Exception(f"VHS failed to extract audio from {file}:\n" \
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+ e.stderr.decode(*ENCODE_ARGS))
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if match:
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ar = int(match.group(1))
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#NOTE: Just throwing an error for other channel types right now
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#Will deal with issues if they come
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ac = {"mono": 1, "stereo": 2}[match.group(2)]
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else:
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ar = 44100
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ac = 2
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audio = audio.reshape((-1,ac)).transpose(0,1).unsqueeze(0)
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return {'waveform': audio, 'sample_rate': ar}
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class LazyAudioMap(Mapping):
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def __init__(self, file, start_time, duration):
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self.file = file
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self.start_time=start_time
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self.duration=duration
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self._dict=None
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def __getitem__(self, key):
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if self._dict is None:
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self._dict = get_audio(self.file, self.start_time, self.duration)
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return self._dict[key]
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def __iter__(self):
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if self._dict is None:
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self._dict = get_audio(self.file, self.start_time, self.duration)
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return iter(self._dict)
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def __len__(self):
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if self._dict is None:
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self._dict = get_audio(self.file, self.start_time, self.duration)
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return len(self._dict)
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def lazy_get_audio(file, start_time=0, duration=0, **kwargs):
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return LazyAudioMap(file, start_time, duration)
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def is_url(url):
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return url.split("://")[0] in ["http", "https"]
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def validate_sequence(path):
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#Check if path is a valid ffmpeg sequence that points to at least one file
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(path, file) = os.path.split(path)
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if not os.path.isdir(path):
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return False
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match = re.search('%0?\\d+d', file)
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if not match:
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return False
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seq = match.group()
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if seq == '%d':
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seq = '\\\\d+'
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else:
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seq = '\\\\d{%s}' % seq[1:-1]
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file_matcher = re.compile(re.sub('%0?\\d+d', seq, file))
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for file in os.listdir(path):
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if file_matcher.fullmatch(file):
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return True
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return False
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def strip_path(path):
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#This leaves whitespace inside quotes and only a single "
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#thus ' ""test"' -> '"test'
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#consider path.strip(string.whitespace+"\"")
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#or weightier re.fullmatch("[\\s\"]*(.+?)[\\s\"]*", path).group(1)
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path = path.strip()
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if path.startswith("\""):
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path = path[1:]
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if path.endswith("\""):
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path = path[:-1]
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return path
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def hash_path(path):
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if path is None:
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return "input"
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if is_url(path):
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return "url"
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if not os.path.isfile(path):
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return "DNE"
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return calculate_file_hash(strip_path(path))
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def validate_path(path, allow_none=False, allow_url=True):
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if path is None:
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return allow_none
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if is_url(path):
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#Probably not feasible to check if url resolves here
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if not allow_url:
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return "URLs are unsupported for this path"
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return is_safe_path(path)
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if not os.path.isfile(strip_path(path)):
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return "Invalid file path: {}".format(path)
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return is_safe_path(path)
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def validate_index(index: int, length: int=0, is_range: bool=False, allow_negative=False, allow_missing=False) -> int:
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# if part of range, do nothing
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if is_range:
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return index
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# otherwise, validate index
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# validate not out of range - only when latent_count is passed in
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if length > 0 and index > length-1 and not allow_missing:
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raise IndexError(f"Index '{index}' out of range for {length} item(s).")
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# if negative, validate not out of range
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if index < 0:
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if not allow_negative:
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raise IndexError(f"Negative indeces not allowed, but was '{index}'.")
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conv_index = length+index
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if conv_index < 0 and not allow_missing:
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raise IndexError(f"Index '{index}', converted to '{conv_index}' out of range for {length} item(s).")
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index = conv_index
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return index
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def convert_to_index_int(raw_index: str, length: int=0, is_range: bool=False, allow_negative=False, allow_missing=False) -> int:
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try:
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return validate_index(int(raw_index), length=length, is_range=is_range, allow_negative=allow_negative, allow_missing=allow_missing)
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except ValueError as e:
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raise ValueError(f"Index '{raw_index}' must be an integer.", e)
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def convert_str_to_indexes(indexes_str: str, length: int=0, allow_missing=False) -> list[int]:
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if not indexes_str:
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return []
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int_indexes = list(range(0, length))
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allow_negative = length > 0
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chosen_indexes = []
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# parse string - allow positive ints, negative ints, and ranges separated by ':'
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groups = indexes_str.split(",")
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groups = [g.strip() for g in groups]
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for g in groups:
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# parse range of indeces (e.g. 2:16)
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if ':' in g:
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index_range = g.split(":", 2)
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index_range = [r.strip() for r in index_range]
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start_index = index_range[0]
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if len(start_index) > 0:
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start_index = convert_to_index_int(start_index, length=length, is_range=True, allow_negative=allow_negative, allow_missing=allow_missing)
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else:
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start_index = 0
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end_index = index_range[1]
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if len(end_index) > 0:
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end_index = convert_to_index_int(end_index, length=length, is_range=True, allow_negative=allow_negative, allow_missing=allow_missing)
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else:
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end_index = length
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# support step as well, to allow things like reversing, every-other, etc.
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step = 1
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if len(index_range) > 2:
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step = index_range[2]
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if len(step) > 0:
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step = convert_to_index_int(step, length=length, is_range=True, allow_negative=True, allow_missing=True)
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else:
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step = 1
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# if latents were passed in, base indeces on known latent count
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if len(int_indexes) > 0:
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chosen_indexes.extend(int_indexes[start_index:end_index][::step])
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# otherwise, assume indeces are valid
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else:
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chosen_indexes.extend(list(range(start_index, end_index, step)))
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# parse individual indeces
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else:
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chosen_indexes.append(convert_to_index_int(g, length=length, allow_negative=allow_negative, allow_missing=allow_missing))
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return chosen_indexes
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def select_indexes(input_obj: Union[Tensor, list], idxs: list):
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if type(input_obj) == Tensor:
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return input_obj[idxs]
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else:
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return [input_obj[i] for i in idxs]
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def merge_filter_args(args, ftype="-vf"):
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#TODO This doesn't account for filter_complex
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#Will likely need to convert all filters to filter complex in the future
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#But that requires source/output deduplication
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try:
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start_index = args.index(ftype)+1
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index = start_index
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while True:
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index = args.index(ftype, index)
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args[start_index] += ',' + args[index+1]
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args.pop(index)
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args.pop(index)
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except ValueError:
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pass
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def select_indexes_from_str(input_obj: Union[Tensor, list], indexes: str, err_if_missing=True, err_if_empty=True):
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real_idxs = convert_str_to_indexes(indexes, len(input_obj), allow_missing=not err_if_missing)
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if err_if_empty and len(real_idxs) == 0:
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raise Exception(f"Nothing was selected based on indexes found in '{indexes}'.")
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return select_indexes(input_obj, real_idxs)
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def hook(obj, attr):
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def dec(f):
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f = functools.update_wrapper(f, getattr(obj,attr))
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setattr(obj,attr,f)
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return f
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return dec
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def cached(duration):
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def dec(f):
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cached_ret = None
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cache_time = 0
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def cached_func():
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nonlocal cache_time, cached_ret
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if time.time() > cache_time + duration or cached_ret is None:
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cache_time = time.time()
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cached_ret = f()
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return cached_ret
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return cached_func
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return dec
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